Data from: A computer vision for animal ecology

1. A central goal of animal ecology is to observe species in the natural
world. The cost and challenge of data collection often limit the breadth
and scope of ecological study. Ecologists often use image capture to
bolster data collection in time and space. However, the ability to process
these images remains a bottleneck. 2. Computer vision can greatly increase
the efficiency, repeatability, and accuracy of image review. Computer
vision uses image features, such as color, shape, and texture to infer
image content. 3. I provide a brief primer on ecological computer vision
to outline its goals, tools and applications to animal ecology. 4. I
reviewed 187 existing applications of computer vision and divided articles
into ecological description, counting, and identity tasks. 5. I discuss
recommendations for enhancing the collaboration between ecologists and
computer scientists and highlight areas for future growth of automated
image analysis.